Environmental group identification for upland rice production in central Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/897493 |
Resumo: | Upland rice (Oryza sativa L.) production is basically concentrated in four central Brazilian States, Mato Grosso, Goiás, Rondônia and Tocantins. To reduce the genotype and environment (G × E) interactions, the classification of environment groups was proposed. The goal of this study explores possibilities to adjust the upland rice regional breeding systems to optimally fit to the range of environments they are targeting, based on a historical yield data set of the Brazilian Geographic and Statistics Institute (IBGE, www.ibge.gov.br/home/) from 54 microregions. The specific objectives of this study were: (i) to identify and classify environmental groups in the Brazilian upland rice production area; (ii) to validate these environmental groups using yield data set from the upland rice multi-trial experiments (MTEs); (iii) and to identify the most representative site for each environmental group. For this the historical upland rice yield data from 54 microregions were detrented from the effects of technological advances and adjusted to the reference year, 2006. The adjusted yield data were used to build a matrix, which was submitted to a cluster analysis allowing the identification of three different environmental groups. These groups were classified as: highly favorable environment (HFE); favorable environment (FE); and less favorable environment (LFE). The HFE is less affected by inter-annual rainfall variability than the other two groups. The upland rice breeding programs must take into account the differences among the environmental groups to conduct their trials and suggest genotypes for the upland production area. |
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Environmental group identification for upland rice production in central Brazil.Breading programEnvironment classificationArrozOryza sativaAnálise estatísticaYieldsCluster analysisUpland rice (Oryza sativa L.) production is basically concentrated in four central Brazilian States, Mato Grosso, Goiás, Rondônia and Tocantins. To reduce the genotype and environment (G × E) interactions, the classification of environment groups was proposed. The goal of this study explores possibilities to adjust the upland rice regional breeding systems to optimally fit to the range of environments they are targeting, based on a historical yield data set of the Brazilian Geographic and Statistics Institute (IBGE, www.ibge.gov.br/home/) from 54 microregions. The specific objectives of this study were: (i) to identify and classify environmental groups in the Brazilian upland rice production area; (ii) to validate these environmental groups using yield data set from the upland rice multi-trial experiments (MTEs); (iii) and to identify the most representative site for each environmental group. For this the historical upland rice yield data from 54 microregions were detrented from the effects of technological advances and adjusted to the reference year, 2006. The adjusted yield data were used to build a matrix, which was submitted to a cluster analysis allowing the identification of three different environmental groups. These groups were classified as: highly favorable environment (HFE); favorable environment (FE); and less favorable environment (LFE). The HFE is less affected by inter-annual rainfall variability than the other two groups. The upland rice breeding programs must take into account the differences among the environmental groups to conduct their trials and suggest genotypes for the upland production area.ALEXANDRE BRYAN HEINEMANN, CNPAF; PAULO CESAR SENTELHAS, ESALQ.HEINEMANN, A. B.SENTELHAS, P. C.2011-08-08T11:11:11Z2011-08-08T11:11:11Z2011-08-08T11:11:11Z2011-08-0820112011-08-08T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Agricola, Piracicaba, v. 68, n. 5, p. 540-547, set./out. 2011.http://www.alice.cnptia.embrapa.br/alice/handle/doc/897493enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-15T23:02:14Zoai:www.alice.cnptia.embrapa.br:doc/897493Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-15T23:02:14falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-15T23:02:14Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Environmental group identification for upland rice production in central Brazil. |
title |
Environmental group identification for upland rice production in central Brazil. |
spellingShingle |
Environmental group identification for upland rice production in central Brazil. HEINEMANN, A. B. Breading program Environment classification Arroz Oryza sativa Análise estatística Yields Cluster analysis |
title_short |
Environmental group identification for upland rice production in central Brazil. |
title_full |
Environmental group identification for upland rice production in central Brazil. |
title_fullStr |
Environmental group identification for upland rice production in central Brazil. |
title_full_unstemmed |
Environmental group identification for upland rice production in central Brazil. |
title_sort |
Environmental group identification for upland rice production in central Brazil. |
author |
HEINEMANN, A. B. |
author_facet |
HEINEMANN, A. B. SENTELHAS, P. C. |
author_role |
author |
author2 |
SENTELHAS, P. C. |
author2_role |
author |
dc.contributor.none.fl_str_mv |
ALEXANDRE BRYAN HEINEMANN, CNPAF; PAULO CESAR SENTELHAS, ESALQ. |
dc.contributor.author.fl_str_mv |
HEINEMANN, A. B. SENTELHAS, P. C. |
dc.subject.por.fl_str_mv |
Breading program Environment classification Arroz Oryza sativa Análise estatística Yields Cluster analysis |
topic |
Breading program Environment classification Arroz Oryza sativa Análise estatística Yields Cluster analysis |
description |
Upland rice (Oryza sativa L.) production is basically concentrated in four central Brazilian States, Mato Grosso, Goiás, Rondônia and Tocantins. To reduce the genotype and environment (G × E) interactions, the classification of environment groups was proposed. The goal of this study explores possibilities to adjust the upland rice regional breeding systems to optimally fit to the range of environments they are targeting, based on a historical yield data set of the Brazilian Geographic and Statistics Institute (IBGE, www.ibge.gov.br/home/) from 54 microregions. The specific objectives of this study were: (i) to identify and classify environmental groups in the Brazilian upland rice production area; (ii) to validate these environmental groups using yield data set from the upland rice multi-trial experiments (MTEs); (iii) and to identify the most representative site for each environmental group. For this the historical upland rice yield data from 54 microregions were detrented from the effects of technological advances and adjusted to the reference year, 2006. The adjusted yield data were used to build a matrix, which was submitted to a cluster analysis allowing the identification of three different environmental groups. These groups were classified as: highly favorable environment (HFE); favorable environment (FE); and less favorable environment (LFE). The HFE is less affected by inter-annual rainfall variability than the other two groups. The upland rice breeding programs must take into account the differences among the environmental groups to conduct their trials and suggest genotypes for the upland production area. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-08-08T11:11:11Z 2011-08-08T11:11:11Z 2011-08-08T11:11:11Z 2011-08-08 2011 2011-08-08T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Scientia Agricola, Piracicaba, v. 68, n. 5, p. 540-547, set./out. 2011. http://www.alice.cnptia.embrapa.br/alice/handle/doc/897493 |
identifier_str_mv |
Scientia Agricola, Piracicaba, v. 68, n. 5, p. 540-547, set./out. 2011. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/897493 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503347342934016 |